Sentence examples for understanding the variability in from inspiring English sources

Scale-based approaches are central to understanding the variability in the changes caused by deforestation and their potential effects on large carnivores' habitat.

Finally, by characterizing the intrinsic factors and understanding the variability in dynamic slope systems, future development of the stochastic seismic response analysis method is elaborated.

Therefore, evaluation of GGV performance data and the uncertainty in input parameters is valuable for understanding the variability in GGV production and for designing them accordingly.

We demonstrated that CSEOF analysis is useful in understanding the variability in space time process data with periodicity in time, which is an important technical contribution of the present study.

Our results emphasize the importance of replicating landscape ecological studies over sites and years, particularly for endangered taxa where effective management hinges on understanding the variability in habitat use across time and space.

The pragmatic issues of test development in understanding the variability in performance among clinical groups are incorporated and the information necessary to effectively utilize the WISC-IV Integrated in clinical practice and the performance on WISC-IV Integrated subtests are provided.

The knowledge gleaned from several in silico studies has facilitated in understanding the variability of evolutionary patterns in gene classes that can illuminate their inherent characteristics.

We have also seen that understanding the variability of situations in which they are used can be supported by using the resilience markers framework.

To supplement the boxplot analysis in understanding the variability of domestic peak demand in the period before and after implementation of power factor improvement schemes, a variance ratio test for domestic peak demand before and after implementation of power factor improvement schemes are estimated.

Understanding the variability of Internet traffic in backbone networks is essential to better plan and manage existing networks, as well as to design next generation networks.

Understanding the variability of ethanolamide levels in humans is very important for study design and data interpretation when changes in ethanolamide levels are used as target engagement biomarkers in clinical trials.